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OpenTable

Applied Machine Learning Scientist II

OpenTable · Toronto, Canada

Posted 13 days ago · $170,000 - $190,000

or apply directly on OpenTable's site. We never take the application ourselves.

Is this posting real?

This role has been open
13 days
OpenTable's roles stay open a median of 37 days
Reposted
No
Salary listed
Yes
44% of OpenTable's roles list one
Ghost-job risk at OpenTable
moderate
36 stale, 4 reposted of 108 open
Hiring momentum
144 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from OpenTable's own greenhouse board since 2026-08-03. Full hiring picture for OpenTable.

About this role

As an Applied Machine Learning Scientist II at OpenTable, you will prototype and productionize machine learning systems aimed at enhancing restaurant content understanding and recommendation. Your role involves building scalable data pipelines, designing evaluation frameworks, and applying large language models to various content tasks. You will collaborate with cross-functional teams to translate business needs into effective machine learning solutions while maintaining high standards for code quality and documentation.

Our read on this posting4.4out of 5
benefits
5/5
freshness
4/5
career value
4/5
role clarity
4/5
pay transparency
5/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of OpenTable as an employer.

What you need

  • Bachelor's, Master's, or PhD degree in Computer Science, Statistics, Mathematics, or a related technical field
  • 0-3 years of relevant academic or professional experience
  • Proficiency in Python and foundational machine learning frameworks (e.g., PyTorch, TensorFlow, scikit-learn, XGBoost)
  • Hands-on experience training, tuning, evaluating, and debugging classical machine learning and deep learning models, including Transformers
  • Strong foundation in software engineering principles, algorithms, and data structures
  • Familiarity with large-scale data systems

Nice to have

  • Experience applying machine learning to text, image, or multimodal content for retrieval, matching, ranking, or recommendation
  • Familiarity with large language model (LLM) workflows for text and image processing tasks
  • Exposure to search systems, information retrieval, embeddings, or learning-to-rank methodologies
  • Experience with human-in-the-loop machine learning systems supporting operational or editorial workflows
  • Demonstrated applied curiosity through substantial technical projects, research, open-source contributions, or internships

What you get

  • Generous paid vacation + time off for your birthday
  • Work from (almost) anywhere for up to 20 days per year
  • Company-paid therapy sessions through SpringHealth
  • Company-paid subscription to Headspace
  • Annual company-wide week off a year
  • Paid parental leave

Worth weighing

  • Hybrid role requires working in the office two days per week
  • No specific mention of company culture beyond a focus on hospitality and collaboration
  • The role involves managing communications outside of regular working hours occasionally due to global operations

Summarised from OpenTable's posting. Read the full original.

Listed by OpenTable on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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